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Stars gained: From Jul 6, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Jul 6, 2026 to Nov 3, 2026, each from zero0510Jul 6Nov 3, 2026Neuraxio/Neuraxlescikit-optimize/scikit-optimize
Stars: The star count at the end of each dayStarsThe star count at the end of each day1K2K3KApr 26Nov 3, 2026Neuraxio/Neuraxlescikit-optimize/scikit-optimize

Facts

FactNeuraxio/Neuraxle

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

scikit-optimize/scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

Stars6122,830
Net stars, last 30 days0+2
Largest star day+1 on Jul 6, 2026+2 on Jul 17, 2026
Milestone reached in the recordNoneNone
Forks62556
LanguagePythonPython
LicenseAPACHE-2.0BSD-3-CLAUSE
CreatedMar 26, 2019Mar 20, 2016
Last pushFeb 20, 2026Feb 23, 2024
ArchivedNoYes
Health facts: Maintenance1 of 4 checks (2 without data)0 of 4 checks (2 without data)
Health facts: Releases1 of 3 checks (1 without data)1 of 3 checks (1 without data)
Health facts: Security practice0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeksNo dataNo data
Weeks with commits, last 52No dataNo data
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: machine-learning, hyperparameter-optimization, hyperparameter-tuning, hyperparameter-search, scikit-learn. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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